Evidence mapPaperPMID 40353064Full record

ArticleFrontiers in aging neuroscience2025

Lower CALLY index levels indicate higher poor functional outcome risk in acute ischemic stroke patients treated with endovascular thrombectomy.

Yunnan Lu, Xiaohua Zhu, Yaojia Xu, Yongxin Li, Qingyong Dai, Xia Chang

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Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yunnan Lu *Department of Neurology, Xishan People's Hospital of Wuxi City, Wuxi, China.
Xiaohua Zhu *Department of Neurology, Xishan People's Hospital of Wuxi City, Wuxi, China.
Yaojia XuDepartment of Neurology, The Affiliated Zhangjiagang Hospital of Soochow University, Suzhou, China.
Yongxin LiDepartment of Neurology, Xishan People's Hospital of Wuxi City, Wuxi, China.
Qingyong DaiDepartment of Neurology, Xishan People's Hospital of Wuxi City, Wuxi, China.
Xia ChangDepartment of Neurology, The Affiliated Zhangjiagang Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The imbalance in the nutrition-immunity-inflammation status is linked to the prognosis of various diseases. This study sought to evaluate the correlation between the C-reactive protein-albumin-lymphocyte (CALLY) index and the outcomes of acute ischemic stroke (AIS) managed with endovascular thrombectomy (EVT). Methods: This study retrospectively enrolled 473 AIS patients who underwent EVT from a multicenter investigation. Poor functional outcome was defined as a modified Rankin scale score exceeding 2 points at 90 days after EVT. The cutoff value for the CALLY index was determined using the receiver operating characteristic curve. Multivariable logistic regression models were utilized to explore the association between the CALLY index and poor functional outcome and restricted cubic splines was used to illustrate the relationship between the CALLY index and the risk of poor functional outcome after EVT. Results: Poor functional outcomes occurred in 214 (45.2%) patients at 90 days after EVT. The cutoff for the CALLY index was 10^ (-0.635). Multivariate logistic regression revealed that the CALLY index was significantly associated with poor functional outcome (odds ratio [OR]: 0.80, 95% confidence interval [CI]: 0.70-0.91, Conclusion: Our study identified that a lower CALLY index is an independent predictor of poor functional outcome after EVT. The CALLY index could emerge as a practical, cost-effective, and promising predictive biomarker for adverse outcomes in AIS patients undergoing EVT treatment.

Indexed as

C-reactive protein-albumin-lymphocyteendovascularinflammationnutritionstrokethrombectomy

Identifiers

PMID40353064
PMCPMC12061938

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.